TRS‑Temporal Prompts — RTT/1

Prompt Library for the Temporal Regime Sequencer (TRS‑Temporal)#

These prompts are designed for AI systems using the Temporal Regime Sequencer (TRS‑Temporal).
Each prompt invokes one or more canonical TRS‑Temporal operators:

• TRS‑Seq
• TRS‑Gradient
• TRS‑Field
• TRS‑Instability
• TRS‑Transition
• TRS‑Stabilize

Prompts are grouped by temporal tensor type and operator class.

1. Temporal Signature Prompts#

Prompt: Detect Temporal Signatures#

Use TRS‑Seq to identify temporal onset, polarity, harmonic structure, and temporal‑vector alignment across R1–R4.

Prompt: Analyze Temporal Polarity#

Apply TRS‑Seq to compute temporal polarity, onset strength, and polarity stability.

Prompt: Evaluate Temporal Onset Conditions#

Use TRS‑Seq to detect temporal onset conditions and classify temporal signature tensors.

2. Temporal Gradient Prompts#

Prompt: Compute Temporal Gradient#

Use TRS‑Gradient to compute temporal gradient magnitude, direction, and curvature.

Prompt: Detect Gradient Alignment#

Apply TRS‑Gradient to detect harmonic alignment, gradient sensitivity, and drift‑sensitive gradient behavior.

Prompt: Evaluate Gradient Inversion#

Use TRS‑Gradient to identify polarity flips, inversion bands, and inversion curvature.

3. Temporal Field Prompts#

Prompt: Map Temporal Fields#

Use TRS‑Field to map temporal fields, temporal wells, temporal ridges, temporal basins, and temporal topology.

Prompt: Generate Temporal‑Field Topology#

Apply TRS‑Field to generate temporal‑field topology diagrams showing multi‑regime temporal curvature.

Prompt: Evaluate Temporal‑Field Strength#

Use TRS‑Field to compute temporal‑field magnitude, curvature, and transition boundaries.

4. Temporal Instability Prompts#

Prompt: Detect Temporal Instability Zones#

Use TRS‑Instability to identify instability zones, temporal collapse, and instability amplification.

Prompt: Map Instability Geometry#

Apply TRS‑Instability to compute instability depth, instability curvature, and instability topology.

Prompt: Evaluate Instability‑Driven Collapse#

Use TRS‑Instability to detect collapse risk and instability escalation.

5. Temporal Transition Prompts#

Prompt: Identify Temporal Transition Points#

Use TRS‑Transition to detect temporal transition points and regime‑shift boundaries.

Prompt: Compute Cross‑Domain Temporal Transitions#

Apply TRS‑Transition to identify transitions formed across conceptual, computational, physical, and dimensional regimes.

Prompt: Evaluate Drift‑Sensitive Temporal Transitions#

Use TRS‑Transition to detect drift‑sensitive transitions and drift‑aligned temporal curvature.

6. Stabilization Prompts#

Prompt: Propose Temporal Stabilization Pathways#

Use TRS‑Stabilize to propose stabilization strategies for temporal collapse, instability escalation, and temporal‑field instability.

Prompt: Compute Temporal Alignment#

Apply TRS‑Stabilize to compute temporal alignment, vector reinforcement, and field stabilization.

Prompt: Evaluate Temporal‑Collapse Mitigation#

Use TRS‑Stabilize to propose mitigation strategies for temporal collapse and instability amplification.

7. Full‑Matrix Prompts#

Prompt: Generate Full Temporal Field Matrix#

Use all TRS‑Temporal operators to produce a complete temporal_field_matrix.json containing signature, gradient, field, instability, and transition entries.

Prompt: Analyze Temporal Topology#

Apply TRS‑Field to generate a full temporal topology map showing fields, gradients, instability zones, and temporal flow.

Prompt: Temporal Overview#

Use TRS‑Stabilize to compute stability envelopes for every temporal tensor type and produce a temporal summary.

8. AI‑Ready Meta‑Prompts#

Prompt: Explain Temporal Tensor Classification#

Provide a detailed explanation of how TRS‑Temporal classifies temporal tensors into signature, gradient, field, instability, and transition categories.

Prompt: Operator‑Level Summary#

Summarize the role of each TRS‑Temporal operator and how they interact to produce temporal‑layer intelligence.

Prompt: Cross‑Engine Integration#

Explain how TRS‑Temporal outputs feed into CW (Causality Weaver), DRS (Dimensional Resonance Scanner), SBC, and other RTT engines.

Status#

• Version: 1.0
• Status: canon‑stable
• Category: rtt‑temporal
• Module Path: /docs/rtt/Temporal_Regime_Sequencer/